HP HP Spectre x360 2-in-1 Laptop 16-f2xxx
Geekbench AI Score
1262
Single Precision Score
1123
Half Precision Score
1067
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | TheDogDR |
| Upload Date | September 06 2025 03:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | HP HP Spectre x360 2-in-1 Laptop 16-f2xxx |
| Motherboard | HP 891E |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.8 IPS |
|
|
Image Classification (HP)
|
100% |
1203
223.8 IPS |
|
|
Image Classification (Q)
|
99% |
973
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1003
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
2029
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
888
70.5 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.8 IPS |
|
|
Object Detection (Q)
|
85% |
609
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1914
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1041
8.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1005
7.74 IPS |
|
|
Depth Estimation (Q)
|
63% |
1070
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1437
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1567
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
4074
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
791
29.3 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
539
723.5 IPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (Q)
|
58% |
450
10.6 IPS |
